AIFlowy
A domestic open-source enterprise-level AI agent development platform that provides visual workflow orchestration, multi-model access, knowledge base and data annotation, and supports private deployment and fine-grained permission auditing.
Updated: 2026-10-26
What is AIFlowy?
The official website title of AIFlowy claims itself an "enterprise-level AI agent development platform", with an open-source license of Apache 2.0, operated by Guizhou Xiaoma Technology Co., Ltd. The website summarizes the platform's capabilities as "from Bot construction to AI workflow orchestration, RAG retrieval, model management, model security, and data annotation". The slogan on the page is "Open-source & Controllable | Out-of-the-box | Production-ready", and the target users are clearly Java engineers. These capabilities are designed for teams that need to deliver to production environments, rather than for one-off demonstrations.
Who is it for?
- R&D teams whose main tech stack is Java and need to integrate AI capabilities into their existing systems.
- Government and financial institutions subject to equal protection and compliance requirements that must be deployed privately.
- Mid-platform teams that want to build their own Bots and workflows without starting from scratch to build a framework.
- Information centers that need to isolate departmental knowledge bases by permissions and retain audit records.
- Universities and integrators building AI training platforms or industry-specific solutions.
Key features
6AI Application Development
The official website states that executable AI applications and automated processes can be built through chat assistants, plug-ins, and workflows.
Model Management
Supports multi-model access and unified configuration, facilitating model switching across different scenarios.
Knowledge Base
Centralizes the management of business knowledge and materials, providing stable knowledge support for AI applications.
Data Annotation
Process conversational data and accumulate high-quality question-answer pairs.
Model Security
The official website states that it can centrally manage sensitive words and early warnings to ensure content compliance and output security.
Tools & Extensions
Integrates MCP and plug-ins to expand the external capabilities and business logic of AI.
How to use AIFlowy
- The official website divides the versions into an open-source edition, a commercial edition, and a flagship custom edition.
- Content security, early warning and operation monitoring are mainly available in the commercial edition and above.
- Please check the function comparison table carefully before selection.
- First, run the Bot and workflow successfully on your local machine with the open-source version, then evaluate whether you need the governance capabilities of the commercial version.
- When it comes to sensitive words and content compliance, configure the model security policy as instructed on the official website before opening it to the public.
- For private deployment, confirm server resources and the division of responsibilities for upgrades and maintenance in advance.
- The engine and framework capabilities mentioned on the official website may evolve with version updates.
- please refer to the official documentation before implementation.
- **Evaluate Integration Based on the Java Tech Stack**: The official website clearly targets Java engineers.
- If your team's primary programming language is different, first confirm the access method and subsequent maintenance costs before deciding to adopt it.
- **Enable plugins on demand**: MCP and plugins expand the range of actions the model can invoke.
- Before opening to the public, verify permissions one by one to avoid unauthorized access to internal systems.
Traffic & popularity
Data month Sep 2026
AIFlowy receives about 4.2K visits per month and ranks #4,435,273 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct39.2%
- Search32.0%
- Referrals10.4%
- Social6.2%
- Display ads3.9%
- Other8.3%
Top countries
- United States100.0%
Estimated from third-party traffic data.
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